seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41310847925 | import os
from abc import ABC
from keras import Model, layers
from keras.layers import Conv2D, BatchNormalization, Add, MaxPool2D, GlobalAveragePooling2D, Flatten, Dense, Rescaling
import tensorflow as tf
class ResnetBlock(Model, ABC):
"""
A standard resnet block.
"""
def __init__(self, channels: in... | beishangongzi/graduation_internship | utils/Resnet.py | Resnet.py | py | 3,958 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.Model",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras.layers.BatchNormalization... |
74992084668 | import cv2
import numpy as np
import os
import sys
import json
import math
import time
import argparse
from enum import Enum
import platform
class Config:
@classmethod
def init(cls):
if platform.system() == "Windows":
cls.QUIT_KEY = ord("q")
cls.CONTINUE_KEY = 2555904 #right... | galatolofederico/manim-presentation | manim_presentation/present.py | present.py | py | 11,126 | python | en | code | 153 | github-code | 6 | [
{
"api_name": "platform.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_... |
26552249009 | #!/usr/bin/env python3
import fnmatch
import os
import re
import ntpath
import sys
import argparse
# handle x64 python clipboard, ref https://forums.autodesk.com/t5/maya-programming/ctypes-bug-cannot-copy-data-to-clipboard-via-python/m-p/9197068/highlight/true#M10992
import ctypes
from ctypes import wintypes
CF_UNICO... | acemod/ACE3 | tools/search_undefinedFunctions.py | search_undefinedFunctions.py | py | 5,461 | python | en | code | 966 | github-code | 6 | [
{
"api_name": "ctypes.WinDLL",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ctypes.WinDLL",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ctypes.wintypes.HWND",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "ctypes.wintypes... |
15873196557 | from datetime import datetime
def unix_to_dt(time):
return datetime.utcfromtimestamp(time).strftime('%Y-%m-%d %H:%M:%S')
class event():
def __init__(self, events):
self.type = events['type']
self.empty = False
if self.type == 'None':
self.empty = True
elif self.type... | theTrueEnder/GroupMe-Export-Parser | Python_Scripts/events.py | events.py | py | 4,193 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "name"
}
] |
35817144385 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Automatic electric field computation
------------------------------------
:download:`examples/auto_efield.py` demonstrates how
drift can be added self-consistently by calculating the
electric field generated from the concentration profile
of charged species.
::
$ p... | chemreac/chemreac | examples/auto_efield.py | auto_efield.py | py | 7,622 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "math.exp",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "math.erf",
"line_number": 65... |
13395399902 | from PIL import Image
def brighten_Image(pixelList):
pix_len = len(pixelList)
for i in range(pix_len): #assigns each part of tuple to a variable
current_pixel = pixelList[i] #then will brigthen each by 50
red = current_pixel[0]
green = current_pixel[1]
blue = current_pixel[2]
#this is not the best way, ex... | tommulvey/CSC15_python | 10_3/brightenImage.py | brightenImage.py | py | 1,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 22,
"usage_type": "name"
}
] |
3727746961 | ### This file is meant to run from pc, *not* from the server. It extracts the
# data from the datafile, posts it to the database and finally runs the day
# command to add the day to the data.
import math
import pandas as pd
import requests
day_of_month = 6
def upload_data(fname):
data = extract_data(fname)
... | simgeekiz/ApplabAPI | group2api/utils/UploadData.py | UploadData.py | py | 1,592 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.isnan",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 38,
"usage_type": "call"
}
] |
72035219069 | #!/usr/bin/env python3
from bcc import BPF
from http.server import HTTPServer, BaseHTTPRequestHandler
import sys
import threading
clone_ebpf = """
#include <uapi/linux/ptrace.h>
#include <linux/sched.h>
#include <linux/fs.h>
#define ARGSIZE 128
BPF_PERF_OUTPUT(events);
struct data_t {
u32 pid; // PID as in t... | madhusudanas/ebpf-mac-python | misc/hello_world1.py | hello_world1.py | py | 1,927 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bcc.BPF",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "sys.stdout",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "threading.... |
14837490064 | from django.urls import path
from . import views
urlpatterns = [
path('products/', views.product_list, name='product_list'),
path('product/<int:product_pk>/', views.product_detail, name='product_detail'),
path('basket/', views.product_basket, name='product_basket'),
path('product/<int:product_pk>/add_t... | meeeeeeeh/djangoblog | shop/urls.py | urls.py | py | 855 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
41945752494 | # usually big companies in Hollywood watermark their script with usually an actor's name.
# So if that actor leaks the script well they'll know that that person has their name on the script and
# they're the ones that leaked it.
# so we are going to use this watermark throgh out all the pdf.
import PyPDF2
template = ... | hyraja/python-starter | 12.scripting python (projects)/pdf with python/03.pdf watermark.py | 03.pdf watermark.py | py | 702 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileWriter",
"line_number": 10,
"usage_type": "call"
}
] |
22509106375 | import numpy as np
import logging
from pathlib import Path
#Output folder setup
output = Path('./output/log').expanduser()
output.mkdir(parents=True, exist_ok=True)
en_log = logging.getLogger(__name__)
en_log.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s:%(name)s:%(message)s')
file_handler = logg... | amuthankural/square_cavity_Natural_Convection | energy.py | energy.py | py | 4,354 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
... |
24282938220 | from application import app, db
from flask import redirect, render_template, request, url_for, flash
from application.child.models import Child
from application.quotes.models import Quote
from application.likes.models import Likes
from application.child.forms import ChildForm, MakeSureForm
from datetime import datetime... | millalin/Kids-Say-the-Darndest-Things | application/child/views.py | views.py | py | 4,587 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "application.child.models.Child.query.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "application.child.models.Child.query",
"line_number": 14,
"usage_type": "a... |
25818064734 | #!/usr/bin/env python3
# =============================================================================
# Author: Julen Bohoyo Bengoetxea
# Email: julen.bohoyo@estudiants.urv.cat
# =============================================================================
""" Description: A set of tools for semantic image segmentati... | julenbhy/biomedical_segmentation | tools/segmentation_utils.py | segmentation_utils.py | py | 23,075 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 49,
... |
5528516422 | from datetime import datetime
from finnhub import Client
from settings.constants import FINHUB_API_KEY
class FinhubFetcher:
def __init__(self, symbol: str) -> None:
self.symbol = symbol
def _init_client(self) -> None:
return Client(FINHUB_API_KEY)
def _get_params(self, resolution: str)... | VladisIove/darkstore | portfolio_manager/services/fetchers/finnhub.py | finnhub.py | py | 949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "finnhub.Client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "settings.constants.FINHUB_API_KEY",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
37158346153 | import squarify
import matplotlib.pyplot as plt
import matplotlib.cm
import numpy as np
x = 0.
y = 0.
width = 950
height = 733
fig = plt.figure(figsize=(15, 12))
ax = fig.add_subplot(111, axisbg='white')
values = [285.4, 188.4, 173, 140.6, 91.4, 75.5, 62.3, 39.6, 29.4, 28.5, 26.2, 22.2]
labels = ['South Africa', 'Eg... | QiliWu/Python-datavis | datavis/Africa GDP.py | Africa GDP.py | py | 1,435 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy... |
24930679414 | from datetime import datetime, timedelta
from email import message
from django.contrib.auth.models import User
from django.contrib import messages
from django.shortcuts import redirect, render
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect, JsonResponse
from .mode... | SachinBhattarai0/QueAns | answers/views.py | views.py | py | 3,662 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.serializers.serialize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.core.serializers",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 19,
"usage_type": "call"
},
{
... |
72789313789 | import numpy as np
import time
from scipy import ndimage
from .toolkit import vectools
from .toolkit.colors import Colors as _C
import matplotlib.pyplot as plt
import matplotlib
import math
import cv2
import sys
import os
__location__ = os.path.realpath(
os.path.join(os.getcwd(), os.path.dirname(__file__)))
cla... | lspgl/csat | sectorImage/core/image.py | image.py | py | 12,778 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.realpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
38504427534 | import requests
from scraper.get_strava_access_token import refreshed_access_token
BASE_URL = 'https://www.strava.com'
ACCESS_TOKEN = refreshed_access_token()
def get_starred_segments():
print('Getting segement list')
request_dataset_url = BASE_URL + '/api/v3/segments/starred' # check https://developers.st... | ADV-111/Srodunia | scraper/request_dataset_through_api.py | request_dataset_through_api.py | py | 1,312 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scraper.get_strava_access_token.refreshed_access_token",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
}
] |
1662811500 | import csv
import os
import numpy as np
import json
from pyexcel_ods import get_data
PATTERN_TYPE = '1'
COURSE_TYPE = 'speed'
DATA_DIR = os.path.join(PATTERN_TYPE, COURSE_TYPE)
fieldnames = ['min_speed','max_speed','delay','spacing','min_angle','max_angle','num_rows','min_b_scale','max_b_scale','clear_threshold','har... | gebgebgeb/bdt | courses/write_speed_courses.py | write_speed_courses.py | py | 3,180 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyexcel_ods.get_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
1720170439 | from wazirx_sapi_client.rest import Client
from wazirx_sapi_client.websocket import WebsocketClient
import time
import websocket,json, pprint
from websocket import create_connection
from time import sleep
import logging
import pandas as pd
import asyncio
import socket, threading
import json, sys, os, time, csv, reque... | deysanjeeb/wazirX-trailstop | trail.py | trail.py | py | 9,134 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "config.API_KEY",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "config.SECRET_KEY",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "wazirx_sapi... |
16838118388 | from typing import List
from urllib.parse import urlparse
import pandas as pd
from pathlib import Path
from behave import Given, When, Then, Step
from csvcubeddevtools.behaviour.file import get_context_temp_dir_path
from csvcubeddevtools.helpers.file import get_test_cases_dir
from rdflib import Graph
from csvcubed.mod... | GDonRanasinghe/csvcubed-models-test-5 | csvcubed/tests/behaviour/steps/qbwriter.py | qbwriter.py | py | 27,298 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csvcubeddevtools.helpers.file.get_test_cases_dir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "behave.Given",
"line_number": 52,
"usage_type": "call"
},
{
"ap... |
29965694924 | import pyowm
import telebot
owm = pyowm.OWM('6d00d1d4e704068d70191bad2673e0cc', language = "ru")
bot = telebot.TeleBot( "1031233548:AAFfUXO0e8bDuOTWaQbHQCCuA_YJwRbqQlY" )
@bot.message_handler(content_types=['text'])
def send_echo(message):
observation = owm.weather_at_place( message.text )
w = observation.... | Neynara/witherin | Bot.py | Bot.py | py | 886 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "pyowm.OWM",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
"line_number": 5,
"usage_type": "call"
}
] |
34839501596 | import numpy as np
import torch
import torchvision
import PIL
import os
def save_video(img,outdir, drange,fname="video0.mp4", normalize=True):
_, C ,T ,H ,W = img.shape
# print (f'Saving Video with {T} frames, img shape {H}, {W}')
img = img.cpu().xdetach().numpy()
if normalize:
lo, hi = drang... | interiit-Team10/HP_BO_DIGAN | src/scripts/__init__.py | __init__.py | py | 979 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.asarray",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.rint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_n... |
22360354761 | from dateutil.relativedelta import relativedelta
from odoo.tests import common
from odoo import fields
class TestContractPriceRevision(common.SavepointCase):
@classmethod
def setUpClass(cls):
super(TestContractPriceRevision, cls).setUpClass()
partner = cls.env['res.partner'].create({
... | detian08/bsp_addons | contract-11.0/contract_price_revision/tests/test_contract_price_revision.py | test_contract_price_revision.py | py | 2,670 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "odoo.tests.common.SavepointCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "odoo.tests.common",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Date.today",
"line_number": 20,
"usage_type": "call"
},
{
"api_n... |
2500846027 | # author: Tran Quang Loc (darkkcyan)
# editorial: https://codeforces.com/blog/entry/8166
# Note: I switched to python for this problem because I want my check function to always use integer number
# I tried to solve this problem using C++ and got overflow even with long long number
# (and really, never chan... | quangloc99/CompetitiveProgramming | Codeforces/CF319-D1-C.py | CF319-D1-C.py | py | 1,270 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
}
] |
306333387 | from fastapi import status, HTTPException, Depends, APIRouter
from database import SessionLocal
import models, schemas, utils
router = APIRouter(
prefix="/merchants",
tags=['Merchants']
)
@router.post("/", status_code=status.HTTP_201_CREATED, response_model=schemas.MerchantResponse)
def create_merchant(merch... | Roshankattel/RFID2 | rfiddemo/routers/merchants.py | merchants.py | py | 1,553 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "schemas.MerchantCreate",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "utils.hash",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Mercha... |
23248264647 | # Usage:
# python advertising_email.py username email_text.txt csv_of_emails.csv attachment1 attachment2 ...
import smtplib
from getpass import getpass
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
import sys
import c... | ngpaladi/PhysGAAP-Tools | mailer/advertising_email.py | advertising_email.py | py | 2,321 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "email.mime.base.MIMEBase",
... |
17657890511 | import time
import speech_recognition as sr
import pyttsx3
engine = pyttsx3.init()
r = sr.Recognizer()
voices = engine.getProperty('voices')
# to check the voices available in the system
'''for voice in voices:
print("Voice:")
print("ID: %s" %voice.id)
print("Name: %s" %voice.name)
print("Age:... | prakritisharma/Voice-recognition | voice_recognition.py | voice_recognition.py | py | 2,928 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
24247317201 | import tkinter
import customtkinter
import random
cards = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 11]
def draw():
global player_score
global enemy_score
win_label.configure(text=" ")
randint = random.randint(0, len(cards) - 1)
player_cards.append(cards[randint])
player_score += int(cards[randi... | anarkitty8/gui-blackjack | blackjack_gui.py | blackjack_gui.py | py | 2,420 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "customtkinter.CTk",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "customtkinter.set_app... |
19499854601 | # -*- coding: utf-8 -*-
import pytest
from mdye_leetcode.solution_28 import Solution
# makes a Solution object b/c that's how leetcode rolls
@pytest.fixture(scope="module")
def sol():
yield Solution()
def test_solution_28_basic(sol: Solution):
assert sol.strStr("mississippi", "issip") == 4
assert sol.... | michaeldye/mdye-python-samples | src/mdye_leetcode/test/test_solution_28.py | test_solution_28.py | py | 513 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mdye_leetcode.solution_28.Solution",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mdye_leetcode.solution_28.Solution",
"line_number": 14,
"usage_type": "name"
}
] |
39425074538 | import discord
class DiscordClient(discord.Client):
def __init__(self, channel: int, players: list):
self.channel: int = channel
self.players: list = players
super().__init__()
async def on_ready(self):
print(f"{self.user} is connected!")
channel = self.get_channel(se... | kevinrobayna/rio_discord_bot | rio_discord_bot/discord_client.py | discord_client.py | py | 1,073 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.Client",
"line_number": 4,
"usage_type": "attribute"
}
] |
28359703116 | import csv
import DBN
import matplotlib.pyplot as plt
def getData(inp="../ABP_data_11traces_1min/dataset7.txt"):
f = file(inp)
lines = f.readlines()
data = (map(float,l.split(" ")[:3]) for l in lines)
# end = lines.index('\n')
# obs = lines[1:end]
# data = map(lambda x: tuple(map(float,x.split(','))),obs)
retur... | romiphadte/ICU-Artifact-Detection-via-Bayesian-Inference | ABP_DBN/run.py | run.py | py | 2,090 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "DBN.DBN",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.pl... |
16304395489 | import cv2
import numpy as np
import apriltag
import collections
apriltag_detect_error_thres = 0.07
def draw_pose(overlay, camera_params, tag_size, pose, z_sign=1, color=(0, 255, 0)):
opoints = np.array([
-1, -1, 0,
1, -1, 0,
1, 1, 0,
-1, 1, 0,
-1, -1, -2 * z_sign,
... | dkguo/Pushing-Imitation | apriltag_detection.py | apriltag_detection.py | py | 4,540 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.Rodrigues",
"line_number"... |
16194751087 | import urllib
import json
import pandas as pd
from pandas.io.json import json_normalize
from rdflib import URIRef, BNode, Literal, Graph
from rdflib import Namespace
from rdflib.namespace import RDF, FOAF, RDFS, XSD
from datetime import datetime
#api key = 57ab2bbab8dda80e00969c4ea12d6debcaddd956 for jsdeux api
#let'... | zhantileuov/rdf_project | generate.py | generate.py | py | 5,906 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rdflib.Namespace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",... |
42663409589 | import copy
import math #needed for calculation of weight and bias initialization
import numpy as np
import pandas as pd
from torch.utils.data import Dataset, DataLoader
import torch, torch.nn as nn, torch.nn.functional as F
import torchvision
from torchvision import transforms, models, utils
#Set seeds
np.random.see... | rachellea/explainable-ct-ai | src/models/custom_models_mask.py | custom_models_mask.py | py | 21,512 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manu... |
73026312507 | from typing import DefaultDict
import sys
import os
import csv
sys.path.append(0, os.path.abspath('.'))
sys.path.append(0, os.path.abspath('./src'))
sys.path.append(0, os.path.abspath('./src/utilities'))
from src.utilities import SCRIPT_HOME
from src.utilities.post_process import post_proc_timeseries
from net_sim impor... | mattall/topology-programming | scripts/TDSC/sim_event.py | sim_event.py | py | 3,375 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
8708126012 | from __future__ import unicode_literals
import datetime
import logging
import os
import tweepy as tp
from twiker.modules.tauth import Auth
class Engine(object):
"""
The main engine class for the Twiker Bot.This class includes all the api methods
Copyright (c) 2021 The Knight All rights reserve... | Twiker-Bot/twiker | twiker/modules/engine.py | engine.py | py | 26,243 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "twiker.modules.tauth.Auth",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",... |
26039112676 | from __future__ import annotations
from dataclasses import dataclass
from pants.core.goals.package import BuiltPackageArtifact
from pants.util.strutil import bullet_list, pluralize
@dataclass(frozen=True)
class BuiltDockerImage(BuiltPackageArtifact):
# We don't really want a default for this field, but the supe... | pantsbuild/pants | src/python/pants/backend/docker/package_types.py | package_types.py | py | 1,072 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.core.goals.package.BuiltPackageArtifact",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pants.util.strutil.bullet_list",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pants.util.strutil.pluralize",
"line_number": 27,
"usage_typ... |
41939702684 | # translate exercise in python
# translate the file in japanese
# so use ' pip install translate'
from translate import Translator
translator = Translator(to_lang='ja')
try:
with open('test.txt', mode='r') as my_file:
text = my_file.read()
translation = translator.translate(text)
with ope... | hyraja/python-starter | 09.FILE I-O python/03.exercise_translator.py | 03.exercise_translator.py | py | 481 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "translate.Translator",
"line_number": 8,
"usage_type": "call"
}
] |
39920879314 | """
This module implement the ServiceProxy class.
This class is used to provide a local proxy to a remote service for a ZeroRobot.
When a service or robot ask the creation of a service to another robot, a proxy class is created locally
so the robot see the service as if it as local to him while in reality the service ... | BolaNasr/0-robot | zerorobot/service_proxy.py | service_proxy.py | py | 7,252 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.urlencode",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "zerorobot.template.state.ServiceState",
"line_number": 55,
"usage_type": "call"
},
{
"ap... |
23313489127 | import bpy
class SFX_Socket_Float(bpy.types.NodeSocket):
'''SFX Socket for Float'''
bl_idname = 'SFX_Socket_Float'
bl_label = "Float"
float: bpy.props.FloatProperty(name = "Float",
description = "Float",
default = 0.0)
... | wiredworks/wiredworks_winches | sockets/SFX_Socket_Float.py | SFX_Socket_Float.py | py | 1,073 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "bpy.types",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.FloatProperty",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bpy.props",
"line_number": 8,
"usage_type": "attribute"
}
] |
18003867595 | import torch
import torch.nn as nn
import torch.nn.functional as F
from algo.pn_utils.maniskill_learn.networks import build_model, hard_update, soft_update
from algo.pn_utils.maniskill_learn.optimizers import build_optimizer
from algo.pn_utils.maniskill_learn.utils.data import to_torch
from ..builder import MFRL
from ... | PKU-EPIC/UniDexGrasp | dexgrasp_policy/dexgrasp/algo/pn_utils/maniskill_learn/methods/mfrl/td3.py | td3.py | py | 3,767 | python | en | code | 63 | github-code | 6 | [
{
"api_name": "algo.pn_utils.maniskill_learn.utils.torch.BaseAgent",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "algo.pn_utils.maniskill_learn.networks.build_model",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "algo.pn_utils.maniskill_learn.networks.bui... |
20602544780 | from sqlalchemy import create_engine, Column, Integer, String, Float
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
engine = create_engine('sqlite:///test.db', echo=True)
Base = declarative_base(engine)
############################################################... | BhujayKumarBhatta/flask-learning | flaskr/db/mysqlalchemy.py | mysqlalchemy.py | py | 2,971 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
... |
23185192152 | #!/usr/bin/env python3
"""
Download the name of all games in the bundle.
Download their info and scrore from opencritic if they exist there.
Sort by score.
"""
import json
import urllib.request
import urllib.parse
from typing import List
from bs4 import BeautifulSoup
from typing_extensions import TypedDict
Game = ... | Hyerfatos/itchio_bundle_games | itch.py | itch.py | py | 3,789 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing_extensions.TypedDict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "typing.List... |
28773188393 | """
examples
@when('the user searches for "{phrase}"')
def step_impl(context, phrase):
search_input = context.browser.find_element_by_name('q')
search_input.send_keys(phrase + Keys.RETURN)
@then('results are shown for "{phrase}"')
def step_impl(context, phrase):
links_div = context.browser.find_element_b... | kevindvaf/rocketmiles | features/steps/search.py | search.py | py | 4,218 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 43,
"usage_type": "name"
},
{
... |
34421435243 | import numpy as np
import pandas as pd
import json
import argparse
import catboost
from catboost import CatBoostClassifier, Pool, metrics, cv
from catboost.utils import get_roc_curve, get_confusion_matrix, eval_metric
from sklearn.metrics import accuracy_score, roc_auc_score
from sklearn.model_selection import train_... | mihael-tunik/SteppingStonesCatboost | classifier.py | classifier.py | py | 4,248 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "catboost.CatBoostClassifier",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "catboost.metrics.Accuracy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "catboost.metrics",
"line_number": 17,
"usage_type": "name"
},
{
"api_name":... |
16208817026 | #-*- coding: UTF-8 -*-
'''
@author: chenwuji
读取原始文件 将脚本保存为按照天的文件
'''
import tools
alldata = {}
map_dict = {}
global_count = 1
def read_data(filename):
f = open(filename)
for eachline in f:
if(len(eachline.split('values (')) < 2):
continue
eachline = eachline.decode('GBK').encode('U... | chenwuji91/vehicle | src_1_sql_to_day_data/data_process.py | data_process.py | py | 1,769 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tools.writeToFile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "tools.toFileWithPickle",
"line_number": 53,
"usage_type": "call"
}
] |
37056623803 | import os
import numpy as np
from sklearn import datasets
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import KFold, GridSearchCV
from sklearn.svm import SVC
from sklearn.externals import joblib
from utils import save_answer
BASE_DIR = os.path.dirname(os.path.realpath(__file... | Nick-Omen/coursera-yandex-introduce-ml | lessons/article/main.py | main.py | py | 1,903 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
30066696464 | import logging
import os
from PIL import Image
from PIL.ExifTags import TAGS
class Utils:
@staticmethod
def extract_exif_data(image: Image) -> {}:
map_tag_dict = {}
exif_data = image.getexif()
for tag_id in exif_data:
tag = TAGS.get(tag_id, tag_id)
data = exif_... | greencashew/image-captioner | imagecaptioner/utils.py | utils.py | py | 1,630 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.ExifTags.TAGS.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.ExifTags.TAGS",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"l... |
11814433027 | from get_url import GetUrl
import requests
from bs4 import BeautifulSoup
class GetText():
def __init__(self, area):
self.got_url = GetUrl()
self.url = self.got_url.get_url(area)
def get_url(self):
url = self.url
return url
def get_text(self):
err_text = '以下の地域から選んでください\n北海道\n東北\n関東\n信越・北陸\n東海\n近畿\n中国\n... | yutatakaba/weather_apr | get_text.py | get_text.py | py | 761 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "get_url.GetUrl",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
}
] |
74160534269 | import datetime
import enum
import os
import signal
import subprocess
import sys
import time
import typing
from logging import getLogger
from threading import Thread
import requests
from slugify import slugify
from config import Setting, client_id, client_secret
from util import file_size_mb, get_setting
logger = ge... | bcla22/twitch-multistream-recorder | twitch.py | twitch.py | py | 8,358 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "typing.TypedDict",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "config.client_... |
13412454502 | # 自己设计的CNN模型
import torch.nn as nn
import torch.nn.functional as F
class ConvolutionalNetwork(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(3, 6, 3, 1) # conv1 （RGB图像，输入通道数为3）
self.conv2 = nn.Conv2d(6, 16, 3, 1) # conv2
self.fc1 = nn.Linear(54 *... | Tommy-Bie/sign_language_classification | my_CNN.py | my_CNN.py | py | 924 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
35835057096 | from re import compile
from utils import BasicError
# Class for Tokens
class Token():
# Token type will have a name and a value
def __init__(self, type_name, value, pos_start, pos_end):
self.type = type_name
self.value = value
self.pos_start = pos_start
self.pos_end = pos_end
... | shaleen111/pyqb | lexer.py | lexer.py | py | 2,416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.BasicError",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 71,
"usage_type": "call"
}
] |
11463544163 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 11 12:08:53 2022
@author: sampasmann
"""
import sys
sys.path.append("../../")
import os
from src.init_files.mg_init import MultiGroupInit
import numpy as np
import matplotlib.pyplot as plt
Nx = 1
data12 = MultiGroupInit(numGroups=12, Nx=Nx)
data70... | spasmann/iQMC | post_process/plotting/mg_solutions.py | mg_solutions.py | py | 1,957 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "src.init_files.mg_init.MultiGroupInit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "s... |
39691118341 | #!/usr/bin/env python
import sys
from xml.etree import ElementTree
def run(files):
first = None
for filename in files:
data = ElementTree.parse(filename).getroot()
if first is None:
first = data
else:
first.extend(data)
if first is not None:
print(Ele... | cheqd/cheqd-node | .github/scripts/xml_combine.py | xml_combine.py | py | 412 | python | en | code | 61 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.tostring",
"line_number": 14,
"usage_type": "call"
},
{
"ap... |
71432253948 | import click
group = click.Group("jaqsmds")
@group.command(help="Run auth server for jaqs.data.DataApi client.")
@click.argument("variables", nargs=-1)
@click.option("-a", "--auth", is_flag=True, default=False)
def server(variables, auth):
from jaqsmds.server.server import start_service
env = {}
for it... | cheatm/jaqsmds | jaqsmds/entry_point.py | entry_point.py | py | 642 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "click.Group",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "jaqsmds.server.server.start_service",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "click.argument",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "click.op... |
8662253484 | import logging
import sys
import tarfile
import tempfile
from urllib.request import urlopen
from zipfile import ZipFile
from pathlib import Path
TF = "https://github.com/tensorflow/tflite-micro/archive/80cb11b131e9738dc60b2db3e2f1f8e2425ded52.zip"
CMSIS = "https://github.com/ARM-software/CMSIS_5/archive/a75f01746df18b... | alifsemi/alif_ml-embedded-evaluation-kit | download_dependencies.py | download_dependencies.py | py | 4,091 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "loggi... |
37009441089 | # coding=utf-8
import pymysql
from com.petstore.dao.base_dao import BaseDao
"""订单明细管理DAO"""
class OrderDetailDao(BaseDao):
def __init__(self):
super().__init__()
def create(self, orderdetail):
"""创建订单明细，插入到数据库"""
try:
with self.conn.cursor() as cursor:
sql ... | wanglun0318/petStore | com/petstore/dao/order_detail_dao.py | order_detail_dao.py | py | 862 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "com.petstore.dao.base_dao.BaseDao",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pymysql.DatabaseError",
"line_number": 21,
"usage_type": "attribute"
}
] |
32915067412 | from django.contrib.auth import get_user_model
from django.db import models
User = get_user_model()
class Group(models.Model):
title = models.TextField(max_length=200, verbose_name='Название')
slug = models.SlugField(unique=True, verbose_name='Идентификатор')
description = models.TextField(verbose_name='... | dew-77/api_final_yatube | yatube_api/posts/models.py | models.py | py | 2,618 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_... |
3400836706 | # -*- coding: utf-8 -*-
from flask import Flask
from pydoc import locate
class ConstructApp(object):
def __init__(self):
self.extensions = {}
self.web_app = self.init_web_app()
def __call__(self, settings, force_init_web_app=False):
if force_init_web_app is True:
self.w... | tigal/mooc | application.py | application.py | py | 1,660 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pydoc.locate",
"line_number": 36,
"usage_type": "call"
}
] |
17016755905 | import urllib.request as request
import json
src="https://padax.github.io/taipei-day-trip-resources/taipei-attractions-assignment.json"
with request.urlopen(src) as response:
data=json.load(response)
spot_data=data["result"]["results"]
with open("data.csv","w",encoding="UTF-8-sig") as file:
for spot_item... | ba40431/wehelp-assignments | week_3/week_3.py | week_3.py | py | 629 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
}
] |
74048870269 | import pandas as pd
import os
from calendar import monthrange
from datetime import datetime,timedelta
import re
import numpy as np
from models.fed_futures_model.backtestloader import BacktestLoader
from models.fed_futures_model.fff_model import FederalFundsFuture
class Backtest():
def __init__(self, path):
... | limjoobin/bt4103-rate-decision-index | rate_decision_index/models/fed_futures_model/backtest.py | backtest.py | py | 3,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.fed_futures_model.backtestloader.BacktestLoader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.fed_futures_model.fff_model.FederalFundsFuture",
"line_number... |
10420450933 | from __future__ import annotations
from typing import TYPE_CHECKING
from randovania.games.prime1.layout.hint_configuration import PhazonSuitHintMode
from randovania.games.prime1.layout.prime_configuration import (
LayoutCutsceneMode,
PrimeConfiguration,
RoomRandoMode,
)
from randovania.layout.preset_descr... | randovania/randovania | randovania/games/prime1/layout/preset_describer.py | preset_describer.py | py | 9,313 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "randovania.games.prime1.layout.prime_configuration.LayoutCutsceneMode.MAJOR",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "randovania.games.prime1.layout.prime_config... |
8224455984 | # MAC0318 Intro to Robotics
# Please fill-in the fields below with every team member info
#
# Name: José Lucas Silva Mayer
# NUSP: 11819208
#
# Name: Willian Wang
# NUSP: 11735380
#
# Any supplemental material for your agent to work (e.g. neural networks, data, etc.) should be
# uploaded elsewhere and listed down below... | josemayer/pato-wheels | project/agent.py | agent.py | py | 5,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 51,
"usage_type": "call"
}... |
13438082129 | """
Boston house prices dataset
"""
import sklearn.datasets
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import PolynomialFeat... | i-hs/lab-python | scratch13/ex05.py | ex05.py | py | 6,999 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.datasets.datasets.load_boston",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.datasets",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets",
"line_number": 15,
"usage_type": "name"
},
{
... |
9622430105 | #!/usr/bin/env python3
import base64
import c3, c5
from itertools import combinations
def beautify(candidates: list):
'''
Pretty prints the candidates returned
'''
s = ''
for c in candidates:
s += 'Keysize: {}\tHamming Distance: {}\n'.format( c['keysize'], c['normalized_distance'])
ret... | oatovar/Cryptopals-Solutions | c06.py | c06.py | py | 4,159 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base64.b64decode",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "c3.singlebyt... |
5593654816 | import telegram
import google
import logging
import base64
import io
from requests_html import HTMLSession
from google.cloud import firestore
from bs4 import BeautifulSoup
from PIL import Image
from time import sleep
from Spider import get_all_course
from UESTC_Login import _login, get_captcha
def __Bot_t... | mrh929/uestc_calendar_bot | calendar/main.py | main.py | py | 6,925 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base64.b64encode",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "UESTC_Login.get_captcha",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "base64.b... |
12789805626 | from errno import EIO, ENOSPC, EROFS
import sys
import os
import traceback
import glob
from decimal import Decimal, getcontext
getcontext().prec = 6
assert sys.platform == 'linux', 'This script must be run only on Linux'
assert sys.version_info.major >= 3 and sys.version_info.minor >= 5, 'This script requires Pytho... | skazanyNaGlany/amipi400 | amiga_disk_devices.py | amiga_disk_devices.py | py | 56,855 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "decimal.getcontext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.geteuid... |
34670378486 | import sys
from math import log
from copy import deepcopy
from typing import Dict, List
from lib.graph import Graph, read_input_csv
class TraceNode:
def __init__(self, id):
self.id = id
self.preds = []
def shortest_trace(graph, node):
"""
Compute the shortest attack trace to the specifi... | pmlab-ucd/IOTA | python/graph_analyzer.py | graph_analyzer.py | py | 7,605 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number"... |
34348826764 | from datetime import datetime
from django.contrib.auth.models import AbstractUser
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
YEAR_VALIDATION_ERROR = 'Нельзя добавить произведение из будущего'
SCORE_VALIDATION_ERROR = 'Оценка должна быть от 1 до 10'
class Use... | RomanK74/api_yamdb | api/models.py | models.py | py | 6,054 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 23,
"usage_type": "name"
},
{
... |
20856359623 | """
Training code for harmonic Residual Networks.
Licensed under the BSD License [see LICENSE for details].
Written by Matej Ulicny, based on pytorch example code:
https://github.com/pytorch/examples/tree/master/imagenet
"""
import argparse
import os
import random
import shutil
import time
import war... | matej-ulicny/harmonic-networks | imagenet/main.py | main.py | py | 13,809 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "models.__dict__",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "models.__dict__",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ran... |
72249954427 | import json
import atexit
import subprocess
import yaml
import argparse
import textwrap
from dataclasses import dataclass
@dataclass
class Config:
num_nodes: int
config_path: str
def __init__(self, n: int, c: str):
self.num_nodes = n
self.config_path = c
self.place_holder_commands... | pesos/heiko | docker-networks.py | docker-networks.py | py | 3,338 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argpars... |
36830731053 | import json
import time
from threading import Thread
import pika
from pika.exceptions import ConnectionClosed
from utils import Logging
class RabbitMQClient(Logging):
_channel_impl = None
def __init__(self, address, credentials, exchange, exchange_type='topic'):
super(RabbitMQClient, self).__init__... | deepsense-ai/seahorse | remote_notebook/code/rabbit_mq_client.py | rabbit_mq_client.py | py | 4,047 | python | en | code | 104 | github-code | 6 | [
{
"api_name": "utils.Logging",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "pika.Connectio... |
74434743869 | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from test_generator.models import *
# Create your views here.
def home(request):
if request.user.is_authenticated:
status = "You're currently logged in."
else:
status = "You're not currently logged i... | alenamedzova/final_project | tester_services/views.py | views.py | py | 767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 22,
"usage_type": "name"
... |
1005006973 | import socket
import json
class pyWave:
configStr = "{ 'enableRawOutput': 'enableRawOutput', 'format': 'Json'}"
configByte = configStr.encode()
val = 0
def __init__(self, _host, _port):
self.host = _host
self.port = _port
def connect(self):
# This is a standard connectio... | kittom/Mind-Control-Car | BrainWaveReader/pywave.py | pywave.py | py | 1,713 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.loads"... |
38008765446 | """
# Analysis utilities
This script belongs to the following manuscript:
- Mathôt, Berberyan, Büchel, Ruuskanen, Vilotjević, & Kruijne (in prep.)
*Causal effects of pupil size on visual ERPs*
This module contains various constants and functions that are used in the main
analysis scripts.
"""
import random
import ... | smathot/causal-pupil | analysis_utils.py | analysis_utils.py | py | 23,689 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "mne.set_log_level",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
10140997594 | # -*- coding: utf-8 -*-
# @Time : 19-1-24 下午9:35
# @Author : ccs
import json
from django.http import HttpResponse
def calc(request):
a = request.GET['a']
b = request.GET['b']
c = request.GET['c']
print(a,b,c)
m = a+b+c
n = b+a
rets = {"m":m,"n":n}
retsj = json.dumps(rets)
retu... | ccs258/python_code | learn_api.py | learn_api.py | py | 348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 18,
"usage_type": "call"
}
] |
32108433366 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
from temba_client.v2 import TembaClient
from django.conf import settings
from django.db import migrations
from ureport.utils import datetime_to_json_date, json_date_to_datetime
logger = logging... | rapidpro/ureport | ureport/polls/migrations/0023_populate_flow_date.py | 0023_populate_flow_date.py | py | 1,499 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.db.migrations.Migration",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 16,
"usage_type": "name"
},
{
"api_na... |
34702779543 | from firebase_admin import firestore
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
def get_user_skills(userid):
item = firestore.client().collection('user').document(userid).get().to_dict()['skills']
user_skill_string = ' '.join(str(e) for e... | prajwol-manandhar/resume-analysis-website | analysis.py | analysis.py | py | 869 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "firebase_admin.firestore.client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "firebase_admin.firestore",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 14,
"usage_type":... |
26848770395 | import sys
from PySide6.QtWidgets import QApplication, QPushButton
from PySide6.QtCore import Slot
# 这个例子包含Signals and Slots(信号与槽机制)
# 使用@Slot()表明这是一个槽函数
# @Slot() 服了，没使用这个居然也能照常运行
def say_hello():
print("Button, clicked, hello!")
app = QApplication([])
# QPushButton里面的参数是按钮上会显示的文字
button = QPus... | RamboKingder/PySide6 | button-2.py | button-2.py | py | 524 | python | zh | code | 2 | github-code | 6 | [
{
"api_name": "PySide6.QtWidgets.QApplication",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PySide6.QtWidgets.QPushButton",
"line_number": 16,
"usage_type": "call"
}
] |
3151231607 | import sys
import form
from PyQt4 import QtCore, QtGui
import letters
import pygame
class ConnectorToMainWindow(QtGui.QMainWindow):
def __init__(self, parent = None):
super(ConnectorToMainWindow, self).__init__()
self.expected_letter = ''
self.timer = QtCore.QTimer()
self.ui = form... | Tal-Levy/homeSchooling | first_steps.py | first_steps.py | py | 3,110 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt4.QtGui.QMainWindow",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtCore.QTimer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtCo... |
9721588822 | import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
ICONSIZE = Gtk.IconSize.SMALL_TOOLBAR
class controlBar(Gtk.HeaderBar):
def __init__(self):
Gtk.HeaderBar.__init__(self)
self.set_show_close_button(True)
self.props.title = "PyFlowChart"
self.info_bo... | steelcowboy/PyFlowChart | pyflowchart/interface/control_bar.py | control_bar.py | py | 3,719 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "gi.require_version",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.IconSize",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "gi.... |
764504946 | from sklearn.base import BaseEstimator, ClusterMixin, TransformerMixin
from sklearn.cluster import DBSCAN, KMeans, SpectralClustering
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import LabelBinarizer
class ClusterTransformer(TransformerMixin, BaseEstimator):
"""Turns sklearn clus... | x-tabdeveloping/blackbert | blackbert/cluster.py | cluster.py | py | 4,673 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.base.ClusterMixin",
"line_number": 32,
"usage_type": "name"
},
{
"... |
21610135351 | import requests
import re
import json
from nonebot import on_command, CommandSession
@on_command('lol新闻', aliases=('lol新闻'))
async def weather(session: CommandSession):
url = "http://l.zhangyoubao.com/news/"
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; U; PPC Mac OS X Mach-O; en-US; rv:1.6) Ge... | Lmg66/QQrobot | awesome-bot/awesome/plugins/lol.py | lol.py | py | 980 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "nonebot.CommandSession",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_... |
9766823930 | from collections import *
import numpy as np
from common.session import AdventSession
session = AdventSession(day=20, year=2017)
data = session.data.strip()
data = data.split('\n')
p1, p2 = 0, 0
class Particle:
def __init__(self, p, v, a, _id):
self.p = np.array(p)
self.v = np.array(v)
... | smartspot2/advent-of-code | 2017/day20.py | day20.py | py | 1,196 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.session.AdventSession",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
36697678270 | #Coded by: QyFashae
import os
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import HashingVectorizer, TfidfTransformer
from sklearn.metrics import accuracy_score, confusion_matrix
from sklearn import tree
# Paths to the directories cont... | Qyfashae/ML_IDS_EmailSec_Spam | smtp_assasin.py | smtp_assasin.py | py | 2,150 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
40941005277 | # github üzerinden yapılan arama sonuçlarını consola yazdırma
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
driver = webdriver.Chrome()
url = "https://github.com"
driver.get(url)
searchInput = driver.find_element_by_name("q")
time.sleep(1)
print("\n" + driver.titl... | furkan-A/Python-WS | navigate.py | navigate.py | py | 588 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
36659620035 |
# finding the right modules/packages to use is not easy
import os
import pyodbc
from numpy import genfromtxt
import pandas as pd
import sqlalchemy as sa # use sqlalchemy for truncating etc
from sqlalchemy import Column, Integer, Float, Date, String, BigInteger
from sqlalchemy.ext.declarative import declarative_base... | BertrandLeroy/GPXReader | ProcessStravaGPX.py | ProcessStravaGPX.py | py | 7,471 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote_plus",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pa... |
40615421063 | import os
import time
from collections import Counter
import numpy as np
from sklearn.preprocessing import MinMaxScaler
import core.leading_tree as lt
import core.lmca as lm
from core.delala_select import DeLaLA_select
from utils import common
def load_parameters(param_path):
dataset = common.load... | alanxuji/DeLaLA | DeLaLA/DeLaLA-Letter.py | DeLaLA-Letter.py | py | 7,574 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "utils.common.load_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "utils.common",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"lin... |
11275131068 |
from django.contrib import admin
from django.urls import path, include
from basesite import views
urlpatterns = [
path('', views.index, name='index'),
path('academics', views.academics, name='academics'),
path('labs', views.labs, name='labs'),
path('committee', views.committee, name='committe... | Mr-vabs/GPA | basesite/urls.py | urls.py | py | 923 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "basesite.views.index",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "basesite.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.pa... |
11169933239 | # from django.shortcuts import render
from rest_framework import generics
from review_app.models import FarmersMarket, Vendor
from fm_api.serializers import FarmersMarketSerializer, VendorSerializer
# Create your views here.
class FarmersMarketListAPIView(generics.ListAPIView):
queryset = FarmersMarket.objects.al... | dhcrain/FatHen | fm_api/views.py | views.py | py | 783 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "review_app.models.FarmersMarket.objects.all",
"line_number": 9,
"usage_typ... |
8179016390 | import json
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def hello(event, context):
logger.info(f"AWS Lambda processing message from GitHub: {event}.")
body = {
"message": "Your function executed successfully!",
"input": event
}
response = {
"st... | Qif-Equinor/serverless-edc2021 | aws-demo/handler.py | handler.py | py | 396 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
}
] |
1868384059 | from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
# Create your models here.
class Country(models.Model):
name = models.CharField(_("Name"), db_column='name', max_length = 150, null=True, blank=True)
code2 = models.CharField(_("Code2"), db_... | amlluch/vectorai | vectorai/restapi/models.py | models.py | py | 696 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
70728232508 | import frida
import sys
package_name = "com.jni.anto.kalip"
def get_messages_from_js(message, data):
print(message)
print (message['payload'])
def instrument_debugger_checks():
hook_code = """
setTimeout(function(){
Dalvik.perform(function () {
var TM ... | antojoseph/frida-android-hooks | debugger.py | debugger.py | py | 800 | python | en | code | 371 | github-code | 6 | [
{
"api_name": "frida.get_device_manager",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 38,
"usage_type": "attribute"
}
] |
36035072095 | import tweepy
import pandas as pd
import re
import time
from textblob import TextBlob
from sqlalchemy import create_engine
import yaml
import json
TWITTER_CONFIG_FILE = '../auth.yaml'
with open(TWITTER_CONFIG_FILE, 'r') as config_file:
config = yaml.load(config_file)
consumer_key = config['twitter']['consumer_key']... | dgletts/project-spirit-bomb | tweets.py | tweets.py | py | 2,259 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_numbe... |
39304842298 | import os
from flask import Flask, jsonify, Blueprint
from flask_cors import CORS
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_bcrypt import Bcrypt
import flask_restplus
from werkzeug.contrib import fixers
# instantiate the extensions
db = SQLAlchemy()
migrate = Migrate()
bcry... | guidocecilio/shows-on-demand-users | src/users/__init__.py | __init__.py | py | 1,480 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_bcrypt.Bcrypt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
12932593468 | from django.db import models
class UserMailmapManager(models.Manager):
"""A queryset manager which defers all :class:`models.DateTimeField` fields, to avoid
resetting them to an old value involuntarily."""
@classmethod
def deferred_fields(cls):
try:
return cls._deferred_fields
... | SoftwareHeritage/swh-web | swh/web/mailmap/models.py | models.py | py | 3,525 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "django.db.models.Manager",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 16,
"usage_type": "attribute"
},
{
"... |
24685520932 | from . import views
from django.urls import path
app_name = 'bankapp' #namespace
urlpatterns = [
path('',views.home,name='home'),
path('login/',views.login,name='login'),
path('register/',views.register,name='register'),
path('logout/',views.logout,name='logout'),
path('user/',views.user,name='... | simisaby/bank | Bank/bankapp/urls.py | urls.py | py | 371 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
20468728047 | # sourcery skip: do-not-use-staticmethod
"""
A module that contains the AIConfig class object that contains the configuration
"""
from __future__ import annotations
import os
from typing import Type
import yaml
class AIConfig:
"""
A class object that contains the configuration information for the AI
At... | badboytuba/nancy | nancy/config/ai_config.py | ai_config.py | py | 3,801 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_numbe... |
16106061785 |
def _extend_pre_ranges(df, upstream:int=0, downstream:int=0, start:str="Start", end:str="End", strand:str="Strand"):
strand_rm = False
if strand not in df.columns:
strand_rm = True
df[strand] = "+"
df.loc[df[strand] == "+", start] -= upstream
df.loc[df[strand] == "-", start] -= downstre... | KellisLab/benj | benj/gene_estimation.py | gene_estimation.py | py | 11,891 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.min",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.log1p",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "timer.template",
"line_number": 6... |
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